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A perceptually motivated approach for speech enhancement

Author
YI HU1 ; LOIZOU, Philipos C1
[1] Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX 75083-0688, United States
Source

IEEE transactions on speech and audio processing. 2003, Vol 11, Num 5, pp 457-465, 9 p ; ref : 32 ref

CODEN
IESPEJ
ISSN
1063-6676
Scientific domain
Telecommunications
Publisher
Institute of Electrical and Electronics Engineers, New York, NY
Publication country
United States
Document type
Article
Language
English
Author keyword
Multitaper power spectrum estimation multiwindow covariance matrix estimation perceptual weighting spectral subtraction method speech enhancement subspace method
Keyword (fr)
Amélioration parole Bruit coloré Estimation paramètre Evaluation performance Matrice covariance Méthode domaine fréquence Réduction bruit Spectre puissance Traitement parole Méthode sous espace
Keyword (en)
Speech enhancement Color noise Parameter estimation Performance evaluation Covariance matrix Frequency domain method Noise reduction Power spectrum Speech processing Subspace method
Keyword (es)
Ruido coloreado Estimación parámetro Evaluación prestación Matriz covariancia Método dominio frecuencia Reducción ruido Espectro potencia Tratamiento palabra
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A05 Signal processing / 001D04A05B Speech processing

Discipline
Telecommunications and information theory
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
15071368

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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